Ventilation-Imaging Synchronization for Artifact Reduction
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Solution Overview
Problem
Current medical systems for ventilation and imaging face challenges in acquiring reproducible images due to movement of respiratory organs and tissues during ventilation, leading to artifacts and loss of information between ventilation and imaging teams.
Innovation Solution
A medical system that integrates a data processing unit with both mechanical ventilators and medical imaging devices, allowing for synchronized data exchange and triggering of image acquisitions based on ventilation status and respiratory phases to ensure consistent image acquisition criteria, enabling reproducible image capture and improved assessment of respiratory status.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If mechanical ventilation is performed on a subject, then the subject's respiratory status can be supported and monitored, but the movement of organs and tissues during ventilation causes image artifacts and reduces image quality
Solution Approach 1:
The system triggers image acquisition at specific respiratory phases (e.g., end-expiration or end-inspiration) before motion artifacts can degrade image quality. By predicting and capturing images at optimal moments based on ventilation cycle timing, the system proactively prevents motion-related degradation while maintaining continuous ventilation support
Solution Approach 2:
Image acquisition is synchronized with the periodic respiratory cycle, acquiring images at regular intervals corresponding to specific phases (e.g., every end-expiration). This periodic timing ensures consistent image quality across multiple acquisitions while allowing continuous ventilation to proceed uninterrupted
2Loss of information
If image acquisition is performed during ventilation, then diagnostic information can be obtained, but there is no machine-based information exchange between ventilation and imaging systems leading to loss of information
Solution Approach 1:
The ventilation system and imaging system are merged into an integrated platform where the data processing unit receives ventilation status information from the ventilator and uses it to trigger image acquisition on the imaging device. This unified architecture enables automatic information exchange between previously separate systems, ensuring that ventilation parameters and imaging data are correlated without requiring complex manual coordination
Solution Approach 2:
The system implements feedback loops where ventilation status information continuously informs imaging timing decisions. The data processing unit monitors ventilation parameters in real-time and automatically adjusts image acquisition triggering based on current respiratory phase, creating a closed-loop system that prevents information loss by ensuring imaging occurs at clinically relevant moments
3Adaptability or versatility
If multiple image acquisitions are triggered at different respiratory phases, then comprehensive respiratory assessment is possible, but image comparability is reduced due to varying ventilation status
Solution Approach 1:
The system applies different image acquisition strategies for different clinical needs: for longitudinal comparison, it triggers images at identical respiratory phases (e.g., always end-expiration); for comprehensive assessment, it acquires images at multiple phases but tags them with ventilation status metadata. This localized approach to acquisition timing allows both comparability and comprehensive assessment depending on the specific clinical question
Data Source
AI summary
The present disclosure provides a medical system (100) comprising at least one data processing unit (111, 121, 130), a mechanical ventilator (110), configured to be operated to cause a ventilation status at a to-be-ventilated subject, and a medical imaging device (120), configured as a mobile device. The at least one data processing unit (111, 121, 130) is configured to obtain, from the mechanical ventilator (110), ventilation status information associated with the ventilation status of the to-be-ventilated subject. Further, the at least one data processing unit (111, 121, 130) is further configured to trigger acquisition of a first image if the ventilation status meets a first image acquisition criterion. Furthermore, the at least data processing unit (111, 121, 130) is further configured to trigger acquisition of at least one subsequent, further image if the ventilation status meets a second image acquisition criterion.